From early-stage concept to full-scale industrialisation, we empower your R&D function to become a driver of sustainable growth. We combine deep engineering DNA with operational excellence to ensure your innovations don’t just reach the market — they lead it.
R&D organisations face unprecedented challenges: being competitive, responsible, resilient, digital, and innovative all at once. We support companies across five strategic pillars:
Product lifecycles are shrinking and competitive windows are narrowing. Companies that cannot accelerate innovation lose market share -- but raw speed without strategic clarity leads to scattered portfolios and wasted engineering effort. The challenge is compressing development cycles whilst making sharper decisions about where to invest R&D resources.
Up to 80% of a product’s lifecycle cost is determined during design. Yet cost engineering and manufacturability are too often treated as afterthoughts — targets imposed on engineering teams rather than integrated design disciplines. The result: late-stage redesigns, products that are expensive to manufacture, and margins eroded before the first unit ships.
Large-scale programmes span multiple years, disciplines, and partners. Coordination failures and scope creep often lead to budget overruns. The challenge is delivering on spec, on time, and on budget — across organisations that were not designed to work together. And as products become increasingly software-intensive, the engineering landscape now spans mechanical, electronic, and software domains simultaneously.
Supply shocks and environmental regulations have redefined R&D. Products must now be sustainable by design whilst remaining resilient to global resource volatility — and all of this without destroying product economics.
R&D performance depends on organisational design. Siloed structures and unclear governance create bottlenecks that slow down even the best engineering teams. And with 70% of R&D digital transformations failing, the challenge is not deploying new tools — it is transforming the organisation around them.
Accelerating R&D through Data & AI
Our advanced modelling and optimisation team, Mews Labs, develops custom AI assets to solve your most complex engineering problems. From design optimisation to lifecycle assessment automation, we embed technology at the heart of your R&D.
Design exploration and optimisation
Exploring thousands of design variants through multi-criteria optimisation to identify the best trade-offs between weight, cost, performance, and environmental impact
AI-enhanced simulation
Combining physics-based models with machine learning to accelerate testing cycles and reduce physical prototyping through fast, accurate surrogate models
Engineering knowledge extraction
Mining technical documentation with NLP and generative AI to automate requirements analysis, detect design reuse opportunities, and accelerate early-phase engineering
Product digital twin
Connecting design, simulation, and real-world performance data into living digital representations that support decisions across the entire product lifecycle
Implement a modular approach to improve flexibility and reduce costs across commercial families whilst maintaining technical excellence.
Improved product flexibility and accelerated development of aircraft derivatives.
Optimise development for a next-generation aircraft carrier—balancing technical complexity with economic performance across a multi-billion euro, multi-year initiative.
Enhanced programme efficiency and improved cost control across the multi-year defence initiative.
Transform global engineering processes facing massive time-to-market pressure and digital transformation requirements.
Achieved digital continuity across the development cycle and improved global engineering productivity.
Our R&D consultants combine deep technical expertise with hands-on operational experience across aerospace, automotive, and industrial sectors.
Nous travaillons avec des organisations confrontées à des défis complexes en matière de R&D, de chaîne d'approvisionnement ou de transformation opérationnelle.
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